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Time Series Forecasting with the Long Short-Term Memory Network in Python - Machine Learning Mastery
The Long Short-Term Memory recurrent neural network has the promise of learning long sequences of observations. It seems a perfect match for time series forecasting, and in fact, it may be. In this tutorial, you will discover how to develop an LSTM forecast model for a one-step univariate time series forecasting problem. After completing this …
Opensource python library for text mining focusing on document similarity identification.
We shall introduce PyDelaunay as a practical spatial construction. It is an efficient Python implementation of Voronoi/Delaunay Tessellation, which can be served as the Basic Map of the neighbourhood concept.
percol is an interactive grep tool in your terminal. percol
- receives input lines from stdin or a file,
- lists up the input lines,
- waits for your input that filter/select the line(s),
- and finally outputs the selected line(s) to stdout.
Since percol just filters the input and output the result to stdout, it can be used in command-chains with | in your shell (UNIX philosophy!).
A long list of top python projects in 2014.
A collection of design patterns and idioms in Python.
“Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.” – Brian W. Kernighan.
Everyone tests their software to some extent, if only by running it and trying it out (technically known as “smoke testing”). Most programmers do a certain amount of exploratory testing, which involves running through various functional paths in your code and seeing if they work.
Systematic testing, however, is a different matter. Systematic testing simply cannot be done properly without a certain (large!) amount of automation, because every change to the software means that the software needs to be tested all over again.
This is an introduction to some lower level automated testing concepts, and how to use built-in Python constructs to start writing tests.
"Some best practices that would be difficult to otherwise stumble upon and self-learn."
Emma is a graphical toolkit for MySQL database developers and administrators. It provides dialogs to create or modify MySQL databases, tables, and associated indexes. The results of an executed query are displayed in a resultset where the record data can be edited by the user, if the SQL statemant allows for it. The SQL editor and resultset view are grouped in tabs. Results can be exported to CSV files. Multiple simultaneous opened MySQL connections are possible. Emma is the successor of yamysqlfront.
The original software is a bit old, but after some days of usage it looks pretty stable and usable.